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ORCIDZhong Ming 0001
Ming Zhong 0003
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, Big Data Institute, Shenzhen, China
- affiliation (PhD 2004): Sun Yat-Sen University, Department of Computer Science, Guangzhou, China
Other persons with the same name
- Ming Zhong — disambiguation page
- Ming Zhong 0001 — Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Ming Zhong 0002
![[0000-0001-9376-818X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9376-818X")
— Wuhan University, School of Computer Science, Wuhan, China - Ming Zhong 0004 — Wuhan University of Technology, Intelligent Transportation Systems Research Center, Wuhan, China
- Ming Zhong 0005 — University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (and 1 more)
- Ming Zhong 0006 — Google, Inc., Mountain View, CA, USA (and 1 more)
- Ming Zhong 0007 — Google, Mountain View, CA, USA (and 1 more)
- Ming Zhong 0008 — Texas A&M University, Institute of Data Science, College Station, TX, USA (and 2 more)
- Ming Zhong 0009 — Zhejiang Normal University, College of Mathematics and Computer Science, Jinhua, China (and 1 more)
- Ming Zhong 0010 — Harbin Institute of Technology, Industrial Research Institute of Robotics and Intelligent Equipment, Weihai, China (and 1 more)
- Ming Zhong 0011 — Fudan University, School of Computer Science, Shanghai, China
- Ming Zhong 0012 — Beijing Institute of Petrochemical Technology, School of Information Engineering, Beijing, China
- Ming Zhong 0013 — York University, Toronto, Canada
- Ming Zhong 0014 — Microsoft, AI for Good Research Lab, USA
- Ming Zhong 0015 — Microsoft STCA, Beijing, China (and 1 more)
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2020 – today
- 2024
[j201]Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-qiang Li, Zhong Ming, Carlos A. Coello Coello:
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. Eng. Appl. Artif. Intell. 129: 107564 (2024)- [j200]Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming:
BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers Comput. Sci. 18(3): 183341 (2024) - [j199]Zitao Xu, Weike Pan, Zhong Ming:
Transfer learning in cross-domain sequential recommendation. Inf. Sci. 669: 120550 (2024) - [j198]Yuze Zhang, Qiuzhen Lin, Lingjie Li, Zhijiao Xiao, Zhong Ming, Victor C. M. Leung:
Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images. Swarm Evol. Comput. 89: 101614 (2024) - [j197]Laizhong Cui, Ziteng Chen, Shu Yang, Ruiyu Chen, Zhong Ming:
A Secure and Decentralized DLaaS Platform for Edge Resource Scheduling Against Adversarial Attacks. IEEE Trans. Computers 73(3): 631-644 (2024) - [j196]Lingjie Li, Qijie Qiu, Zhijiao Xiao, Qiuzhen Lin, Jiongjiong Gu, Zhong Ming:
A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing. IEEE Trans. Consumer Electron. 70(1): 735-746 (2024) - [j195]Lingjie Li, Yongfeng Li, Qiuzhen Lin, Songbai Liu, Junwei Zhou, Zhong Ming, Carlos A. Coello Coello:
Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 54(6): 3502-3515 (2024) - [j194]Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming:
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. ACM Trans. Intell. Syst. Technol. 15(4): 77:1-77:23 (2024) - [j193]Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian:
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? ACM Trans. Knowl. Discov. Data 18(7): 168 (2024) - [j192]Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming:
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 125:1-125:50 (2024) - [j191]Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming:
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(5): 129:1-129:35 (2024) - [j190]Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming:
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. IEEE Trans. Veh. Technol. 73(6): 7722-7732 (2024) - [c146]Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming:
Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. CEC 2024: 1-8 - [c145]Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming:
Knowledge Distillation with Classmate. ICIC (2) 2024: 245-256 - [c144]Zhouming Zhu, Lingjie Li, Zhijiao Xiao, Songbai Liu, Lijia Ma, Qiuzhen Lin, Zhong Ming:
A High-Dimensional Feature Selection Method via Selection and Non-selection Operators and Local Search Mechanism in Particle Swarm Optimization. ICIC (2) 2024: 281-294 - [c143]Jialei Zhang, Shubin Cai, Zhiwei Jiang, Jian Xiao, Zhong Ming:
FireRobBrain: Planning for a Firefighting Robot using Knowledge Graph and Large Language Model. IDS 2024: 37-41 - [c142]Weipeng Cao, Xi Tao, Yinghui Pan, Ye Liu, Zhong Ming:
QoS Perception for Cloud Databases: Necessity, Trends, and Challenges. IWQoS 2024: 1-2 - [c141]Xi Tao, Weipeng Cao, Yinghui Pan, Ye Liu, Zhong Ming:
Improving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach. IWQoS 2024: 1-2 - [c140]Ming Chen, Weike Pan, Zhong Ming:
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. KDD 2024: 329-340 - [c139]Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming, Changping Ji, Jiongjiong Gu, Chuqing Cao, Liang Zheng:
WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. KSEM (3) 2024: 16-27 - [c138]Shubin Cai, Honglong Chen, Youyi Huang, Zhong Ming:
ComPAT: A Compiler Principles Course Assistant. KSEM (5) 2024: 74-83 - [c137]Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng:
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. KSEM (1) 2024: 112-123 - [c136]Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhenru Chen, Xi Tao, Zhong Ming, Chuqing Cao, Liang Zheng:
MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification. MMM (1) 2024: 300-313 - [c135]Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming:
Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation. RecSys 2024: 465-474 - [c134]Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming:
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR 2024: 956-965 - [c133]Jing Xiao, Weike Pan, Zhong Ming:
A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. SIGIR 2024: 1578-1588 - [c132]Chenxing Kuang, Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming:
A Brief Review on Prediction Methods for Cloud Resource Management. SmartCloud 2024: 92-96 - [c131]Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang:
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM 2024: 414-423 - [c130]Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - [i17]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. CoRR abs/2401.04971 (2024) - [i16]Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR abs/2401.15369 (2024) - [i15]Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming:
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation. CoRR abs/2402.12733 (2024) - [i14]Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming:
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. CoRR abs/2406.00333 (2024) - [i13]Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR abs/2406.00335 (2024) - [i12]Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming:
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. CoRR abs/2407.17802 (2024) - 2023
- [j189]Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - [j188]Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324: 103996 (2023) - [j187]Wenhong Wei, Manlin Xuan, Lingjie Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello:
Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification. Appl. Soft Comput. 143: 110360 (2023) - [j186]Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming:
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. 17(5): 175336 (2023) - [j185]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming:
A survey of dynamic pickup and delivery problems. Neurocomputing 554: 126631 (2023) - [j184]Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen:
A survey on Evolutionary Reinforcement Learning algorithms. Neurocomputing 556: 126628 (2023) - [j183]Jing Lin, Mingkai He, Weike Pan, Zhong Ming:
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. 621: 136-155 (2023) - [j182]Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang:
STI-Net: Spatiotemporal integration network for video saliency detection. Inf. Sci. 628: 134-147 (2023) - [j181]Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming:
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. IEEE Netw. 37(4): 230-236 (2023) - [j180]Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang:
Graph embedding based multi-label Zero-shot Learning. Neural Networks 167: 129-140 (2023) - [j179]Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu:
Deep generative image priors for semantic face manipulation. Pattern Recognit. 139: 109477 (2023) - [j178]Yongfeng Li, Lingjie Li, Huimei Tang, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung:
Redefined decision variable analysis method for large-scale optimization and its application to feature selection. Swarm Evol. Comput. 82: 101360 (2023) - [j177]Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 53(10): 6289-6302 (2023) - [j176]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. 27(4): 802-816 (2023) - [j175]Yinghui Pan, Biyang Ma, Yifeng Zeng, Jing Tang, Buxin Zeng, Zhong Ming:
An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1276-1289 (2023) - [j174]Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming:
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. ACM Trans. Intell. Syst. Technol. 14(1): 14:1-14:22 (2023) - [j173]Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - [j172]Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhong Ming:
Lifelong Age Transformation With a Deep Generative Prior. IEEE Trans. Multim. 25: 3125-3139 (2023) - [j171]Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming:
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41(2): 40:1-40:37 (2023) - [j170]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - [j169]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1(1): 1-27 (2023) - [j168]Zhiwu Xu, Yazheng Liu, Shengchao Qin, Zhong Ming:
Output Range Analysis for Feed-Forward Deep Neural Networks via Linear Programming. IEEE Trans. Reliab. 72(3): 1191-1205 (2023) - [j167]Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3284-3297 (2023) - [c129]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) 2023: 580-592 - [c128]Yan Liu, Ying He, Zhong Ming, F. Richard Yu:
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. ECAI 2023: 1560-1567 - [c127]Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming:
Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM 2023: 170-179 - [c126]Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming:
Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. ICDM 2023: 438-447 - [c125]Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. ICDM 2023: 1139-1144 - [c124]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming:
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia 2023: 995-1003 - [c123]Hengzhi Li, Shubin Cai, Zhong Ming:
Legal Judgment Prediction Incorporating Guiding Cases Matching. NLPCC (1) 2023: 511-523 - [c122]Zitao Xu, Weike Pan, Zhong Ming:
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. RecSys 2023: 491-501 - [c121]Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming:
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. RecSys 2023: 588-598 - [c120]Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming:
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. RecSys 2023: 625-636 - [c119]Yuze Zhang, Lingjie Li, Zhijiao Xiao, Qiuzhen Lin, Zhong Ming:
A Diversified Multi-objective Particle Swarm Optimization Algorithm for Unsupervised Band Selection of Hyperspectral Images. ICSI (1) 2023: 464-475 - [c118]Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW 2023: 1673-1682 - [i11]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR abs/2302.03419 (2023) - [i10]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - [i9]Guowei Wu, Weike Pan, Zhong Ming:
GNN4FR: A Lossless GNN-based Federated Recommendation Framework. CoRR abs/2308.01197 (2023) - [i8]Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming:
A Survey on Multi-Behavior Sequential Recommendation. CoRR abs/2308.15701 (2023) - 2022
- [j166]Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming:
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. CCF Trans. Pervasive Comput. Interact. 4(1): 32-44 (2022) - [j165]Faan Zheng, Qiao Yan, Victor C. M. Leung, F. Richard Yu, Zhong Ming:
HDP-CNN: Highway deep pyramid convolution neural network combining word-level and character-level representations for phishing website detection. Comput. Secur. 114: 102584 (2022) - [j164]Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello:
A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization. Eng. Appl. Artif. Intell. 115: 105249 (2022) - [j163]Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming:
TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. 16(2): 162615 (2022) - [j162]Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming:
Diversifying agent's behaviors in interactive decision models. Int. J. Intell. Syst. 37(12): 12035-12056 (2022) - [j161]Lingjie Li, Qiuzhen Lin, Zhong Ming:
A survey of artificial immune algorithms for multi-objective optimization. Neurocomputing 489: 211-229 (2022) - [j160]Zhong Ming, Lijun Zhang, Shengchao Qin:
Preface to Special Issue on Analysis and Verification of Intelligent Systems. Int. J. Softw. Informatics 12(4): 351-353 (2022) - [j159]Ying He, Haiyan Wang, Yuan Li, Ke Huang, Victor C. M. Leung, F. Richard Yu, Zhong Ming:
An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain. IEEE Internet Things J. 9(4): 2722-2733 (2022) - [j158]Mingkai He, Weike Pan, Zhong Ming:
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. 608: 881-899 (2022) - [j157]Yulong Ye, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming:
Knowledge guided Bayesian classification for dynamic multi-objective optimization. Knowl. Based Syst. 250: 109173 (2022) - [j156]Pengqing Hu, Enyue Yang, Weike Pan, Xiaogang Peng, Zhong Ming:
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. Knowl. Based Syst. 253: 109441 (2022) - [j155]Wanqi Ma, Weike Pan, Zhong Ming:
SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. 258: 109999 (2022) - [j154]Chengwei Li, Han Liu, Zhong Ming:
Empirical study on virtual order of class labels in nominal classification. Int. J. Mach. Learn. Cybern. 13(11): 3255-3266 (2022) - [j153]Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello:
A self-organizing weighted optimization based framework for large-scale multi-objective optimization. Swarm Evol. Comput. 72: 101084 (2022) - [j152]Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Zhong Ming, Jun Zhang:
A Self-Guided Reference Vector Strategy for Many-Objective Optimization. IEEE Trans. Cybern. 52(2): 1164-1178 (2022) - [j151]Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming:
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30(4): 1073-1087 (2022) - [j150]Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming:
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 71(5): 4642-4654 (2022) - [c117]Rian He, Shubin Cai, Zhong Ming, Jialei Zhang:
Weighted self Distillation for Chinese word segmentation. ACL (Findings) 2022: 1757-1770 - [c116]Biyang Ma, Yinghui Pan, Yifeng Zeng, Zhong Ming:
Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms. AAMAS 2022: 1911-1913 - [c115]Yinghui Pan, Junhan Chen, Yifeng Zeng, Zhangrui Yao, Qianwen Li, Biyang Ma, Yi Ji, Zhong Ming:
LBfT: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems. AAMAS 2022: 1914-1916 - [c114]Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming:
Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM 2022: 1379-1388 - [c113]Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming:
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING 2022: 2658-2667 - [c112]Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming:
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA 2022: 1-9 - [c111]Zhijiao Xiao, Xiao Liu, Zhong Ming:
A Deep Reinforcement Learning based VM Scheduling Strategy Decreasing Data Center Communication costs. HPCC/DSS/SmartCity/DependSys 2022: 1173-1179 - [c110]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem. ICIC (1) 2022: 27-40 - [c109]Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. ICIC (1) 2022: 41-50 - [c108]Zhangrui Yao, Junhan Chen, Yinghui Pan, Yifeng Zeng, Biyang Ma, Zhong Ming:
Learning a Typhoon Bayesian Network Structure from Natural Language Reports. IFIP TC12 ICIS 2022: 174-182 - [c107]Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming:
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI 2022: 3802-3808 - [c106]Lin Li, Weike Pan, Guanliang Chen, Zhong Ming:
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN 2022: 1-9 - [c105]Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN 2022: 1-8 - [c104]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN 2022: 1-8 - [c103]Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming:
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. IJCNN 2022: 1-8 - [c102]Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming:
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. IWQoS 2022: 1-10 - [c101]Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming:
User-Event Graph Embedding Learning for Context-Aware Recommendation. KDD 2022: 1051-1059 - [c100]Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming:
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys 2022: 268-277 - [c99]Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming:
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM 2022: 666-674 - [i7]